SUAVPy: A SUMO Plugin for UAV-Based Ground Traffic Sensing
In recent years, Unmanned Aerial Vehicles (UAVs) have emerged as effective tools for traffic monitoring and control by offering high-resolution, aerial observations of vehicular movement. Although UAV simulation is well established, tools to capture microscopic traffic measurements from UAV-based o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
TIB Open Publishing
2025-07-01
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| Series: | SUMO Conference Proceedings |
| Subjects: | |
| Online Access: | https://www.tib-op.org/ojs/index.php/scp/article/view/2610 |
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| Summary: | In recent years, Unmanned Aerial Vehicles (UAVs) have emerged as effective tools for traffic monitoring and control by offering high-resolution, aerial observations of vehicular movement. Although UAV simulation is well established, tools to capture microscopic traffic measurements from UAV-based observations remain limited. This paper introduces SUMO-UAV-Py, an open-source SUMO plugin that integrates UAV-based sensing into microscopic traffic simulations in Python. SUMO-UAV-Py captures detailed vehicle observations by dynamically employing multiple UAVs to observe traffic measurements based on their position and field-of-view (FoV). Performance evaluations on a mid-sized network demonstrate that SUMO-UAV-Py maintains simulation performance comparable to standard post-processing methods, confirming its suitability for large-scale traffic monitoring research.
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| ISSN: | 2750-4425 |